Invention Grant
- Patent Title: Determining appropriate medical image processing pipeline based on machine learning
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Application No.: US16018486Application Date: 2018-06-26
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Publication No.: US10740866B2Publication Date: 2020-08-11
- Inventor: Amin Katouzian , Anup Pillai , Chaitanya Shivade , Marina Bendersky , Ashutosh Jadhav , Vandana Mukherjee , Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen J. Walder, Jr.; William J. Stock
- Main IPC: G06T1/20
- IPC: G06T1/20 ; G06K9/32 ; G06T7/00 ; G06N20/00

Abstract:
Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.
Public/Granted literature
- US20190392547A1 Determining Appropriate Medical Image Processing Pipeline Based on Machine Learning Public/Granted day:2019-12-26
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